موضوعات
آموزش و پرورش
ادبیات و زبان
پزشکی، دندانپزشکی و داروسازی
تاریخ و جغرافیا
داستان و رمان
دیگر
دین و فلسفه
روانشناسی
ریاضیات و آمار
سلامتی، تناسب اندام و رژیم غذایی
شیمی و پلیمر
علوم اجتماعی و حقوق
علوم زیستی و بیوتکنولوژی
فیزیک و نجوم
کامپیوتر و اینترنت
کتابهای کودکان و داستان
کسب و کار و اقتصاد
کشاورزی و دامپزشکی و غذا
معماری
مهندسی و فناوری
هنر و تئاتر
محصولات
Portals to the Universe: The NASA Astronomy Science Centers - Original PDF
نویسندگان: خلاصه: The field of astronomy and astrophysics has advanced significantly with the advent of orbiting observatories. The ability to observe unobstructed by Earth’s atmosphere has opened new spectral windows and provided clearer, deeper views of the universe. Working with powerful new ground-based tools, astronomers and astrophysicists have revolutionized our understanding of the universe and the physical laws that govern its existence.
Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies - Original PDF
نویسندگان: خلاصه: Discover how to build and backtest algorithmic trading strategies with Zipline Key Features Get to grips with market data and stock analysis and visualize data to gain quality insights Find out how to systematically approach quantitative research and strategy generation/backtesting in algorithmic trading Learn how to navigate the different features in Python's data analysis libraries Book Description Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization. What you will learn Discover how quantitative analysis works by covering financial statistics and ARIMA Use core Python libraries to perform quantitative research and strategy development using real datasets Understand how to access financial and economic data in Python Implement effective data visualization with Matplotlib Apply scientific computing and data visualization with popular Python libraries Build and deploy backtesting algorithmic trading strategies Who this book is for This book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python's core libraries. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. Beginner-level working knowledge of Python programming and statistics will be helpful. Table of Contents Introduction to algorithmic trading Exploratory Data Analysis in Python High-speed Scientific Computing using NumPy Data Manipulation and Analysis with Pandas Data Visualization using Matplotlib Statistical Estimation, Inference, and Prediction Financial Market Data Access in Python Introduction to Zipline and PyFolio Fundamental algorithmic trading strategies
Options Trading For Dummies (For Dummies (Business & Personal Finance)) - Original PDF
نویسندگان: خلاصه: When it comes to boosting your portfolio, you’ve got options! Looking for a new way to flex your investing muscle? Look no further! Options Trading For Dummies offers trusted guidance for anyone ready to jump into the versatile, rewarding world of stock options. And just what are your options options? This book breaks down the most common types of options contracts, helping you select the right strategy for your needs. Learn all about the risk-reward structure of options trading and reduce your risk through smart mixing and matching. Today’s markets are more topsy turvy than ever before, but there is also more potential for everyday investors like you to profit, regardless of economic conditions. Options are great for broadening your retirement portfolio or earning a little extra scratch through shorter-term positions. Options Trading For Dummies is your plain-English resource for learning how! • Demystify the world of options contracts and how to trade them, including index, equity, and ETF options • Use technical analysis to create a solid trading strategy that limits your risk • Protect your assets and avoid the pitfalls common to first-time options traders • Learn about covered calls, butterfly positions, and other techniques that can enhance your gains Thinking of trading options, but not sure where to start? This latest edition of Options Trading For Dummies provides you with step-by-step advice for boosting your income under today’s market conditions.
Fixed Income Trading and Risk Management: The Complete Guide - Original PDF
نویسندگان: خلاصه: Fixed Income Trading and Risk Management: The Complete Guide delivers a comprehensive and innovative exposition of fixed income markets. Written by European Central Bank portfolio manager Alexander During, this book takes a practical view of how several different national fixed income markets operate in detail.
Financial Trading and Investing - Original PDF
نویسندگان: خلاصه: Financial Trading and Investing, Third Edition provides a useful introduction to trading and market microstructure for advanced undergraduate as well as master’s students. Without demanding a background in econometrics, the book explores alternative markets and highlights recent regulatory developments, implementations, institutions and debates. The text offers explanations of controversial trading tactics (and blunders) such as high-frequency trading, dark liquidity pools, fat fingers, insider trading and flash orders, emphasizing links between the history of financial regulation and events in financial markets. It includes coverage of valuation and hedging techniques, particularly with respect to fixed income and derivative securities. The text adds a chapter on financial utilities and institutions that provide support services to traders and updates regulatory matters. Combining theory and application, this book provides a practical beginner's introduction to today's investment tools and markets with a special emphasis on trading.
Trading Options for Edge: A Professional Guide to Volatility Trading - Original PDF
نویسندگان: خلاصه: If you have experience in option trading, or a strong understanding of the options markets, but want to better understand how to trade given certain market conditions, this is the book for you. Mark Sebastian's new edition will teach trade evaluation, using Greeks, trading various spreads under different market conditions, portfolio-building, and risk management. Sebastian's approach will help traders understand how to find edge, what kind of trade under what conditions will capture edge, and how to create and successfully hedge. The book demonstrates how to structure a portfolio of trades that makes more money with less risk.
Hands-On Financial Modeling with Excel for Microsoft 365: Build your own practical financial models for effective forecasting, valuation, trading, and growth analysis, 2nd Edition - Original PDF
نویسندگان: خلاصه: Explore a variety of Excel features, functions, and productivity tips for various aspects of financial modeling Key Features Explore Excel's financial functions and pivot tables with this updated second edition Build an integrated financial model with Excel for Microsoft 365 from scratch Perform financial analysis with the help of real-world use cases Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel. Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies. By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Prepare detailed asset and debt schedule models in Excel Calculate profitability ratios using various profit parameters Obtain and transform data using Power Query Dive into capital budgeting techniques Apply a Monte Carlo simulation to derive key assumptions for your financial model Build a financial model by projecting balance sheets and profit and loss Who this book is for This book is for data professionals, analysts, traders, business owners, and students who want to develop and implement in-demand financial modeling skills in their finance, analysis, trading, and valuation work. Even if you don't have any experience in data and statistics, this book will help you get started with building financial models. Working knowledge of Excel is a prerequisite.
Developing High Frequency Trading Systems: Learn how to implement high-frequency trading from scratch with C++ or Java basics - Original PDF
نویسندگان: خلاصه: Use your programming skills to create and optimize high-frequency trading systems in no time with Java, C++, and Python Key Features • Learn how to build high-frequency trading systems with ultra-low latency • Understand the critical components of a trading system • Optimize your systems with high-level programming techniques Book Description The world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? The Developing High-Frequency Trading Systems book answers all these questions. This practical guide will help you navigate the fast-paced world of algorithmic trading and show you how to build a high-frequency trading system from complex technological components, supported by accurate data. Starting off with an introduction to high-frequency trading, exchanges, and the critical components of a trading system, the book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system’s performance is vital, so you’ll also get up to speed with logging and statistics. As you move beyond the traditional high-frequency trading programming languages, such as C++ and Java, you’ll learn how to use Python to achieve high levels of performance. And what book on trading would be complete without diving into cryptocurrency? By the end of this book, you’ll be ready to take on the markets with high-frequency trading systems. What you will learn • Understand the architecture of high-frequency trading systems • Boost system performance to achieve the lowest possible latency • Leverage the power of Python, C++, and Java to build your trading systems • Bypass your kernel and optimize your operating system • Use static analysis to improve code development • Use C++ templates and Java multithreading for super-low latency • Apply your knowledge to cryptocurrency trading Who This Book Is For This book is for software engineers, quantitative developers or researchers, and DevOps engineers who want to understand the technical side of high-frequency trading systems and the optimizations that are needed to get to ultra-low latency systems. Prior experience working with C++ and Java will help you grasp the topics covered in this book.
From Data to Trade: A Machine Learning Approach to Quantitative Trading - Original PDF
نویسندگان: خلاصه: Machine Learning has revolutionized the field of quantitative trading, enabling traders to develop and implement sophisticated trading strategies that leverage large amounts of data and advanced modeling techniques. In this book, we provide a comprehensive overview of Machine Learning for quantitative trading, covering the fundamental concepts, techniques, and applications of Machine Learning in the financial industry. We start by introducing the key concepts and challenges of Machine Learning for quantitative trading, including feature engineering, model selection, and backtesting. We then delve into the various Machine Learning approaches that are commonly used in quantitative trading, including supervised learning, unsupervised learning, and reinforcement learning. We also discuss the challenges and best practices of implementing Machine Learning models in the live market, including the role of data quality, the importance of risk management, and the need for ongoing model monitoring and validation. Throughout the book, we provide numerous examples and case studies to illustrate the concepts and techniques discussed, and we also include practical tips and resources to help traders and practitioners get started with Machine Learning for quantitative trading. This book is an essential resource for anyone looking to gain a deeper understanding of how Machine Learning is transforming the world of finance. This groundbreaking work offers a unique perspective on the use of Machine Learning in the financial markets, as it was created by an advanced Artificial Intelligence (AI) using its own Machine Learning algorithms to analyze vast amounts of data and construct a comprehensive guide on the subject. Machine Learning is a type of artificial intelligence that enables computers to learn and adapt without being explicitly programmed. It involves the use of algorithms and statistical models to analyze data and make predictions or decisions based on the patterns and trends that it identifies. In Machine Learning, a computer is trained to recognize patterns in data by being presented with a large number of examples of the patterns that it should recognize. As the computer processes these examples, it "learns" the characteristics of the patterns and becomes better at recognizing them. Once the computer has learned to recognize the patterns, it can then be used to make predictions or decisions based on new data that it has not seen before. There are many different types of machine learning, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Each type of Machine Learning involves a different approach to training the computer and making predictions or decisions based on the data. Machine Learning is used in a wide range of applications, including image and speech recognition, natural language processing (NLP), recommendation systems, and fraud detection. It has the potential to transform many different industries by automating tasks that would be difficult or impossible for humans to perform, and by enabling computers to make decisions and predictions based on data in a way that is more accurate and efficient than human judgment. In “From Data to Trade: A Quantitative Approach to Machine Learning,” readers will learn about the latest techniques and approaches for using Machine Learning in quantitative trading, as well as practical advice for implementing these methods in their own trading strategies. From basic concepts to advanced techniques, this book covers it all and is an invaluable resource for traders at any level of experience.
The index trading course workbook: step-by-step exercises and tests to help you master the index trading course - Original PDF
نویسندگان: خلاصه: An indispensable, hands-on companion to The Index Trading Course In The Index Trading Course , financial experts George Fontanills and Tom Gentile provide an in-depth look at the tools and techniques used to trade in this profitable market. Now, in The Index Trading Course Workbook , Fontanills and Gentile offer a wealth of practical exercises that will help further your understanding of index trading, as well as test and apply what you've learned before you take one step into the real markets-where time and money are luxuries you can't afford to lose. The media assignments found in each chapter are especially useful. They'll help you put the material you've read into action by prompting you to access some of the extensive media tools currently available to all traders-including financial papers, magazines, the Internet, and television. This hands-on companion to The Index Trading Course also includes a complete answer key for every multiple-choice question and covers a wide range of issues related to this discipline such as: Core stock market indexes along with the sector offerings from a variety of financial entities Actively traded index products, including exchange traded funds (ETFs), index options, and ETF options Options strategies used for different trends and volatility situations Indicators and systems Trade adjustments The art of risk managementآیا کتاب مورد نظر هنوز بر روی سایت قرار نگرفته است؟ جای نگرانی نیست! کافی است بر روی گزینه سفارش کتاب کلیک کرده و درخواست خود را ثبت کنید. در کمتر از چند ساعت کتاب شما را آماده خواهیم کرد.